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@@ -30,8 +30,32 @@ TODO: Add your code
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  ```python
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- from stable_baselines3 import ...
 
 
 
 
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  from huggingface_sb3 import load_from_hub
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  ...
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  ```
 
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  ```python
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+ import gymnasium
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+ from stable_baselines3 import PPO
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+ from stable_baselines3.common.env_util import make_vec_env
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+ from stable_baselines3.common.evaluation import evaluate_policy
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+ from stable_baselines3.common.monitor import Monitor
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  from huggingface_sb3 import load_from_hub
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+ repo_id = "AdanLee/ppo-LunarLander-v2" # The repo_id
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+ filename = "ppo-LunarLander-v2.zip" # The model filename.zip
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+
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+ # When the model was trained on Python 3.8 the pickle protocol is 5
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+ # But Python 3.6, 3.7 use protocol 4
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+ # In order to get compatibility we need to:
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+ # 1. Install pickle5 (we done it at the beginning of the colab)
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+ # 2. Create a custom empty object we pass as parameter to PPO.load()
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+ custom_objects = {
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+ "learning_rate": 0.0,
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+ "lr_schedule": lambda _: 0.0,
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+ "clip_range": lambda _: 0.0,
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+ }
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+
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+ checkpoint = load_from_hub(repo_id, filename)
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+ model = PPO.load(checkpoint, custom_objects=custom_objects, print_system_info=True)
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+
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+ eval_env = Monitor(gym.make("LunarLander-v2"))
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+ mean_reward, std_reward = evaluate_policy(model, eval_env, n_eval_episodes=10, deterministic=True)
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+ print(f"mean_reward={mean_reward:.2f} +/- {std_reward}")
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  ...
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  ```